Topic: Compatibility between ethics and security for large language models Abstract: As a major technological breakthrough in the field of artificial intelligence, large language models have become a core force driving technological industry transformation and innovation today. However, the widespread use of large language models also brings with it a series of information security and ethical risks. On the one hand, attackers can exploit model vulnerabilities to extract sensitive data and manipulate output results, posing systemic security threats. On the other hand, data discrepancies and algorithmic flaws can cause models to intentionally or unintentionally generate biased or offensive content, leading to potential ethical risks. While secure and ethical large language models are a common aspiration in academia and industry, existing large language models face significant challenges in achieving these ethical and safety goals. Our work addresses the above challenges to simultaneously address both safety and ethical risks in real-world applications. In this presentation, I will introduce our recent work in building a large language model training framework based on ethical and safety assessments, designing a dynamic balance solution between ethics and safety, and proposing rigorous proof methods for both ethics and safety. Short Bios: Professor Wanlei Zhou is currently the Vice Rector (Academic Affairs), City University of Macau, Macao SAR, China. He received the B.Eng and M.Eng degrees from Harbin Institute of Technology, Harbin, China in 1982 and 1984, respectively, and the PhD degree from The Australian National University, Canberra, Australia, in 1991, all in Computer Science and Engineering. He also received a DSc degree (a higher Doctorate degree) from Deakin University in 2002. Before joining City University of Macau, Professor Zhou held various positions including the Head of School of Computer Science in University of Technology Sydney, Australia, the Alfred Deakin Professor, Chair of Information Technology, Associate Dean, and Head of School of Information Technology in Deakin University, Australia. Professor Zhou also served as a lecturer in University of Electronic Science and Technology of China, a system programmer in HP at Massachusetts, USA; a lecturer in Monash University, Melbourne, Australia; and a lecturer in National University of Singapore, Singapore. His main research interests include security, privacy, and distributed computing. Professor Zhou has published more than 500 papers in refereed international journals and refereed international conferences proceedings, including many articles in IEEE transactions and journals. Prof Zhou is an IEEE Life Fellow and is recognised in Stanford’s Top 2% Scientists.